put CLI into its own module

pull/5/head
Konstantin Baierer 4 years ago
parent 71d44408b3
commit 389ef088d0

@ -0,0 +1,23 @@
"""
sbb_binarize CLI
"""
from argparse import ArgumentParser
from .sbb_binarize import SbbBinarizer
def main():
parser = ArgumentParser()
parser.add_argument('-i', '--image', default=None, help='image.')
parser.add_argument('-p', '--patches', default=False, help='by setting this parameter to true you let the model to see the image in patches.')
parser.add_argument('-s', '--save', default=False, help='save prediction with a given name here. The name and format should be given (outputname.tif).')
parser.add_argument('-m', '--model', default=None, help='models directory.')
options = parser.parse_args()
binarizer = SbbBinarizer(options.image, options.model, options.patches, options.save)
binarizer.run()
if __name__ == "__main__":
main()

@ -2,7 +2,6 @@
Tool to load model and binarize a given image. Tool to load model and binarize a given image.
""" """
from argparse import ArgumentParser
from os import listdir from os import listdir
from os.path import join from os.path import join
from warnings import catch_warnings, simplefilter from warnings import catch_warnings, simplefilter
@ -16,7 +15,7 @@ import tensorflow as tf
with catch_warnings(): with catch_warnings():
simplefilter("ignore") simplefilter("ignore")
class sbb_binarize: class SbbBinarizer:
# TODO use True/False for patches # TODO use True/False for patches
def __init__(self, image, model, patches='false', save=None): def __init__(self, image, model, patches='false', save=None):
@ -218,21 +217,3 @@ class sbb_binarize:
img_last = (img_last[:, :] == 0)*255 img_last = (img_last[:, :] == 0)*255
if self.save: if self.save:
cv2.imwrite(self.save, img_last) cv2.imwrite(self.save, img_last)
def main():
parser = ArgumentParser()
parser.add_argument('-i', '--image', dest='inp1', default=None, help='image.')
parser.add_argument('-p', '--patches', dest='inp3', default=False, help='by setting this parameter to true you let the model to see the image in patches.')
parser.add_argument('-s', '--save', dest='inp4', default=False, help='save prediction with a given name here. The name and format should be given (outputname.tif).')
parser.add_argument('-m', '--model', dest='inp2', default=None, help='models directory.')
options = parser.parse_args()
possibles = globals()
possibles.update(locals())
x = sbb_binarize(options.inp1, options.inp2, options.inp3, options.inp4)
x.run()
if __name__ == "__main__":
main()

@ -22,7 +22,7 @@ setup(
install_requires=install_requires, install_requires=install_requires,
entry_points={ entry_points={
'console_scripts': [ 'console_scripts': [
'sbb_binarize=sbb_binarize.sbb_binarize:main', 'sbb_binarize=sbb_binarize.cli:main',
] ]
}, },
) )

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